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Record W4210735229 · doi:10.36106/paripex/1601282

KNOWLEDGE, ATTITUDE AND PRACTICE ON MENTAL HEALTH AMONG HEALTH WORKERS SERVING A BLOCK OF A DISTRICT OF WESTERN INDIA.

2021· article· en· W4210735229 on OpenAlexaboutno aff
Shobha Misra, Mehul Patel, Rajat Oswal

Bibliographic record

VenuePARIPEX INDIAN JOURNAL OF RESEARCH · 2021
Typearticle
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsnot available
Fundersnot available
KeywordsMental healthMedicineFamily medicineNursingHealth carePopulationQuarter (Canadian coin)Environmental healthPsychiatry

Abstract

fetched live from OpenAlex

Background: Mental health services can be provided efficiently by primary health care workers with communitybased initiatives and task-sharing strategies. The study was carried out to assess the knowledge, attitude and practice regarding mental health among health workers serving a block of a district of Western India. Methods:A cross sectional study was conducted among 47 health workers serving rural and tribal population of a block of a district of Western India.Accredited Social Health Activists,Auxiliary Nurse Midwives,Field level workers;one each from the selected 12 villages were interviewed through a semi structured Questionnaire. Results: The 50th percentile knowledge and attitude-practice among health care workers was 63.46% and 72.78% respectively. Overall mean knowledge was 64.12%.There was no gender difference in the scores. Faith healing/quack (bhuva,bhagat) was options for treatment as mentioned by four-fifth of them and dargah/temple by two-third of them.All of them were aware of medicines as options for treatment and nearly 60% mentioned conversations and electric shock as options too. Conclusions/Recommendations: There is a need of a tailored made intervention developed in collaboration with psychiatrist and public health expert on mental health to empower primary health care workers

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.552

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.138
GPT teacher head0.523
Teacher spread0.385 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2021
Admission routes1
Has abstractyes

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Same venuePARIPEX INDIAN JOURNAL OF RESEARCHSame topicMental Health Treatment and AccessFrench-language works237,207